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ICDM
2005
IEEE
166views Data Mining» more  ICDM 2005»
15 years 5 months ago
An Algorithm for In-Core Frequent Itemset Mining on Streaming Data
Frequent itemset mining is a core data mining operation and has been extensively studied over the last decade. This paper takes a new approach for this problem and makes two major...
Ruoming Jin, Gagan Agrawal
SIGCOMM
2010
ACM
15 years 1 days ago
Automating root-cause analysis of network anomalies using frequent itemset mining
Finding the root-cause of a network security anomaly is essential for network operators. In our recent work [1, 5], we introduced a generic technique that uses frequent itemset mi...
Ignasi Paredes-Oliva, Xenofontas A. Dimitropoulos,...
DAWAK
2010
Springer
14 years 9 months ago
Mining Non-redundant Information-Theoretic Dependencies between Itemsets
Abstract. We present an information-theoretic framework for mining dependencies between itemsets in binary data. The problem of closure-based redundancy in this context is theoreti...
Michael Mampaey
SDM
2004
SIAM
207views Data Mining» more  SDM 2004»
15 years 1 months ago
BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint
Previous study has shown that mining frequent patterns with length-decreasing support constraint is very helpful in removing some uninteresting patterns based on the observation t...
Jianyong Wang, George Karypis
JIIS
2006
119views more  JIIS 2006»
14 years 11 months ago
Answering constraint-based mining queries on itemsets using previous materialized results
Abstract In recent years, researchers have begun to study inductive databases, a new generation of databases for leveraging decision support applications. In this context, the user...
Roberto Esposito, Rosa Meo, Marco Botta